# py-todoist-mcp

> Use this tool when you need to integrate AI assistants with Todoist task management, enabling creation, reading, updating, and deletion of tasks and projects through the Model Context Protocol. It solves problems of task automation and project organization, accepting inputs such as task details and filter queries, and outputting updated task and project information. Ideal for use cases requiring seamless interaction between AI agents and Todoist, streamlining workflow management and productivity.

Canonical page: https://skillsregistry.net/skills/chris-jelly-py-todoist-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chris-jelly-py-todoist-mcp

## Description

A Python MCP server that enables AI assistants to manage Todoist tasks and projects through the Model Context Protocol. It supports full CRUD operations for tasks and projects, including support for nested projects and Todoist's advanced filter syntax.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gg5p5ctf7q)
- **Repository:** <https://github.com/chris-jelly/py-todoist-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chris-jelly-py-todoist-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chris-jelly-py-todoist-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chris-jelly-py-todoist-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt